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  1. Rheumatoid Arthritis (RA) is a chronic inflammatory disease that is primarily diagnosed and managed by rheumatologists; however, it is often primary care providers who first encounter RA-related symptoms. This...

    Authors: Anh N. Q. Pham, Claire E. H. Barber, Neil Drummond, Lisa Jasper, Doug Klein, Cliff Lindeman, Jessica Widdifield, Tyler Williamson and C. Allyson Jones
    Citation: BMC Medical Informatics and Decision Making 2024 24:360
    Content type: Research Published on:

  2. Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many symptoms that in many cases affect the pulmonary system. These, in turn, may deteriorate the patient’s quality of l...

    Authors: Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona…
    Citation: BMC Medical Informatics and Decision Making 2024 24:359
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2025 25:68

  3. Readmission to the intensive care unit (ICU) remains a severe challenge, leading to higher rates of death and a greater financial burden. This study aimed to develop a nomogram-based prediction model for indiv...

    Authors: Hong Ni, Yanchun Peng, Qiong Pan, Zhuling Gao, Sailan Li, Liangwan Chen and Yanjuan Lin
    Citation: BMC Medical Informatics and Decision Making 2024 24:358
    Content type: Research Published on:

  4. The large language models (LLMs), most notably ChatGPT, released since November 30, 2022, have prompted shifting attention to their use in medicine, particularly for supporting clinical decision-making. Howeve...

    Authors: Cindy N. Ho, Tiffany Tian, Alessandra T. Ayers, Rachel E. Aaron, Vidith Phillips, Risa M. Wolf, Nestoras Mathioudakis, Tinglong Dai and David C. Klonoff
    Citation: BMC Medical Informatics and Decision Making 2024 24:357
    Content type: Research Published on:

  5. Embedding machine learning workflows into real-world hospital environments is essential to ensure model alignment with clinical workflows and real-world data. Many non-healthcare industries undergoing digital ...

    Authors: Joshua Au Yeung, Anthony Shek, Thomas Searle, Zeljko Kraljevic, Vlad Dinu, Mart Ratas, Mohammad Al-Agil, Aleksandra Foy, Barbara Rafferty, Vitaliy Oliynyk and James T. Teo
    Citation: BMC Medical Informatics and Decision Making 2024 24:356
    Content type: Software Published on:

  6. Patients with severe coronary arterystenosis may present with apparently normal electrocardiograms (ECGs), making it difficult to detect adverse health conditions during routine screenings or physical examinat...

    Authors: Zhengkai Xue, Shijia Geng, Shaohua Guo, Guanyu Mu, Bo Yu, Peng Wang, Sutao Hu, Deyun Zhang, Weilun Xu, Yanhong Liu, Lei Yang, Huayue Tao, Shenda Hong and Kangyin Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:355
    Content type: Research Published on:

  7. There are numerous papers focusing on diagnosing mental health disorders using unimodal and multimodal approaches. However, our literature review shows that the majority of these studies either use unimodal ap...

    Authors: Georgios Drougkas, Erwin M. Bakker and Marco Spruit
    Citation: BMC Medical Informatics and Decision Making 2024 24:354
    Content type: Research Published on:

  8. Blood management is an important aspect of healthcare and vital for the well-being of patients. For effective blood management, it is essential to determine the quality and documentation of the processes for b...

    Authors: David Cheng-Zarate, James Burns, Cathy Ngo, Agnes Haryanto, Gregory Duncan, David Taniar and Michael Wybrow
    Citation: BMC Medical Informatics and Decision Making 2024 24:353
    Content type: Research Published on:

  9. Lipid disorders significantly increase cardiovascular disease (CVD) risk, the leading cause of mortality worldwide. Effective lipid management is critical for improving health outcomes. Traditional screening m...

    Authors: Mahnaz Samadbeik, Teyl Engstrom, Elton H Lobo, Karem Kostner, Jodie A Austin, Jason D Pole and Clair Sullivan
    Citation: BMC Medical Informatics and Decision Making 2024 24:352
    Content type: Research Published on:

  10. The structural abnormality of the heart and its blood vessels at the time of birth is known as congenital heart disease. Every year in Pakistan, sixty thousand children are born with CHD, and 44 in 1000 die be...

    Authors: Sana Shahid, Haris Khurram, Muhammad Ahmed Shehzad and Muhammad Aslam
    Citation: BMC Medical Informatics and Decision Making 2024 24:351
    Content type: Research Published on:

  11. Predicting the length of stay in advance will not only benefit the hospitals both clinically and financially but enable healthcare providers to better decision-making for improved quality of care. More importa...

    Authors: Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Tae Joon Jun and Young-Hak Kim
    Citation: BMC Medical Informatics and Decision Making 2024 24:350
    Content type: Research Published on:

  12. This study aimed to identify the risk factors of acute ischemic stroke (AIS) occurring during hospitalization in patients following off-pump coronary artery bypass grafting (OPCABG) and utilize Bayesian networ...

    Authors: Wenlong Zou, Haipeng Zhao, Ming Ren, Chaoxiong Cui, Guobin Yuan, Boyi Yuan, Zeyu Ji, Chao Wu, Bin Cai, Tingting Yang, Jinjun Zou and Guangzhi Liu
    Citation: BMC Medical Informatics and Decision Making 2024 24:349
    Content type: Research Published on:

  13. Mental health presentations account for a considerable proportion of paramedic workload; however, the decision-making involved in managing these cases is poorly understood. This study aimed to explore how para...

    Authors: Kate Emond, George Mnatzaganian, Michael Savic, Dan I. Lubman and Melanie Bish
    Citation: BMC Medical Informatics and Decision Making 2024 24:348
    Content type: Research Published on:

  14. Anomaly detection is crucial in healthcare data due to challenges associated with the integration of smart technologies and healthcare. Anomaly in electronic health record can be associated with an insider try...

    Authors: Muntaha Tabassum, Saba Mahmood, Amal Bukhari, Bader Alshemaimri, Ali Daud and Fatima Khalique
    Citation: BMC Medical Informatics and Decision Making 2024 24:347
    Content type: Research Published on:

  15. Multiscale sample entropy (MSE) is a prevalent complexity metric to characterize a time series and has been extensively applied to the physiological signal analysis. However, for a short-term time series, the ...

    Authors: Manhong Shi, Yinuo Shi, Yuxin Lin and Xue Qi
    Citation: BMC Medical Informatics and Decision Making 2024 24:346
    Content type: Research Published on:

  16. Timely and accurate prediction of disease progress is crucial for facilitating early intervention and treatment for various chronic diseases. However, due to the complicated and longitudinal nature of disease ...

    Authors: Haoyu Tian, Xiong He, Kuo Yang, Xinyu Dai, Yiming Liu, Fengjin Zhang, Zixin Shu, Qiguang Zheng, Shihua Wang, Jianan Xia, Tiancai Wen, Baoyan Liu, Jian Yu and Xuezhong Zhou
    Citation: BMC Medical Informatics and Decision Making 2024 24:345
    Content type: Research Published on:

  17. Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predi...

    Authors: Yuli Wang, Na Mei, Ziyi Zhou, Yuan Fang, Jiacheng Lin, Fanchen Zhao, Zhihong Fang and Yan Li
    Citation: BMC Medical Informatics and Decision Making 2024 24:344
    Content type: Research Published on:

  18. MRI is critical for diagnosing lumbar spine disorders but its complexity challenges diagnostic accuracy. This study proposes a BERT-based large language model (LLM) to enhance precision in classifying lumbar s...

    Authors: Rongpeng Dong, Xueliang Cheng, Mingyang Kang and Yang Qu
    Citation: BMC Medical Informatics and Decision Making 2024 24:343
    Content type: Research Published on:

  19. To construct a highly accurate and interpretable feeding intolerance (FI) risk prediction model for preterm newborns based on machine learning (ML) to assist medical staff in clinical diagnosis.

    Authors: Hui Xu, Xingwang Peng, Ziyu Peng, Rui Wang, Rui Zhou and Lianguo Fu
    Citation: BMC Medical Informatics and Decision Making 2024 24:342
    Content type: Research Published on:

  20. Health information systems play a crucial role in the delivery of efficient and effective healthcare. Poor usability is one of the reasons for their lack of acceptance and low usage by users. The aim of this s...

    Authors: Razieh Farrahi, Ehsan Nabovati, Reyhane Bigham and Fateme Rangraz Jeddi
    Citation: BMC Medical Informatics and Decision Making 2024 24:341
    Content type: Research Published on:

  21. Shared  decision making in healthcare is a fundamental right for patients. Healthcare professionals' perception of their own abilities to enable shared decision making is crucial for implementing shared decisi...

    Authors: Jeanette Finderup, Hilary L. Bekker, Nadia Thielke Albèr, Susanne Boel, Louise Engelbrecht Buur, Helle Sørensen von Essen, Anne Wilhøft Kristensen, Kristian Damgaard Lyng, Tina Wang Vedelø, Gitte Susanne Rasmussen, Pernille Christiansen Skovlund, Stine Rauff Søndergaard and Anik Giguère
    Citation: BMC Medical Informatics and Decision Making 2024 24:340
    Content type: Research Published on:

  23. Tuberculosis (TB) is Ethiopia’s leading infectious killer disease. The war in the Tigray region of Ethiopia has resulted in the disruption of TB care services. Prediction models are recommended to aid the diag...

    Authors: Gebremedhin Berhe Gebregergs, Gebretsadik Berhe, Kibrom Gebreslasie Gebrehiwot and Afework Mulugeta
    Citation: BMC Medical Informatics and Decision Making 2024 24:338
    Content type: Research Published on:

  24. This study reviews the studies utilizing Artificial Intelligence (AI) and AI-driven tools and methods in managing Acute Kidney Injury (AKI). It categorizes the studies according to medical specialties, analyse...

    Authors: Dima Tareq Al-Absi, Mecit Can Emre Simsekler, Mohammed Atif Omar and Siddiq Anwar
    Citation: BMC Medical Informatics and Decision Making 2024 24:337
    Content type: Systematic Review Published on:

  25. This study proposes a synthetic data generation model to create a classification framework for cerebellar ataxia patients using trajectory data from the visuomotor adaptation task. The classification objective...

    Authors: Jinah Kim, Sung-Ho Woo, Taekyung Kim, Won Tae Yoon, Jung Hwan Shin, Jee-Young Lee and Jeh-Kwang Ryu
    Citation: BMC Medical Informatics and Decision Making 2024 24:336
    Content type: Research Published on:

  26. This systematic review and meta-analysis uncovered that in China, there’s a shortage of medical records coding staff, coupled with heavy coding workloads.

    Authors: Yu Liu, Chao Wu, Meiling Cao, Chunyan Lei, Zhiqiang Zhou and Wenjing Ou
    Citation: BMC Medical Informatics and Decision Making 2024 24:335
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2024 24:362

  27. Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy and affects disease prognosis in stroke patients. Many factors may be related to PSD, including demographic, comorbidities,...

    Authors: Zemin Wei, Mengqi Li, Chenghui Zhang, Jinli Miao, Wenmin Wang and Hong Fan
    Citation: BMC Medical Informatics and Decision Making 2024 24:334
    Content type: Research Published on:

  28. Clinical data warehouses provide harmonized access to healthcare data for medical researchers. Informatics for Integrating Biology and the Bedside (i2b2) is a well-established open-source solution with the maj...

    Authors: Lena Baum, Armin Müller, Marco Johns, Hammam Abu Attieh, Mehmed Halilovic, Vladimir Milicevic, Diogo Telmo Neves, Karen Otte, Anna Pasquier, Felix Nikolaus Wirth, Patrick Segelitz, Katharina Schönrath, Joachim E. Weber and Fabian Prasser
    Citation: BMC Medical Informatics and Decision Making 2024 24:333
    Content type: Research Published on:

  29. Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, has attracted increasing attention. Recent studies have explored a plausible association between retinopathy and significan...

    Authors: Gangfeng Zhu, Na Yang, Qiang Yi, Rui Xu, Liangjian Zheng, Yunlong Zhu, Junyan Li, Jie Che, Cixiang Chen, Zenghong Lu, Li Huang, Yi Xiang and Tianlei Zheng
    Citation: BMC Medical Informatics and Decision Making 2024 24:332
    Content type: Research Published on:

  30. Effective self-care practices are crucial for maintaining health and well-being, as inadequate self-care can lead to increased health risks and decreased overall quality of life. To address these issues, one p...

    Authors: Khadijeh Moulaei, Somayeh salehi, Masoud Shahabian, Babak sabet, Farshid Rezaei, Adrina Habibzadeh and Mohammad Reza Afrash
    Citation: BMC Medical Informatics and Decision Making 2024 24:331
    Content type: Research Published on:

  31. Shared decision-making is recommended for stroke rehabilitation. However, the complexity of the rehabilitation modalities exposes patients to decision-making conflicts, exacerbates their disabilities, and dimi...

    Authors: Zining Guo, Sining Zeng, Keyu Ling, Shufan Chen, Ting Yao, Haihan Li, Ling Xu and Xiaoping Zhu
    Citation: BMC Medical Informatics and Decision Making 2024 24:330
    Content type: Research Published on:

  32. In older adults with hypertension, hip fractures accompanied by preoperative acute heart failure significantly elevate surgical risks and adverse outcomes, necessitating timely identification and management to...

    Authors: Qili Yu, Zhiyong Hou and Zhiqian Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:329
    Content type: Research Published on:

  33. Severe acute pancreatitis (SAP) can be fatal if left unrecognized and untreated. The purpose was to develop a machine learning (ML) model for predicting the 30-day all-cause mortality risk in SAP patients and ...

    Authors: Xiaojing Li, Yueqin Tian, Shuangmei Li, Haidong Wu and Tong Wang
    Citation: BMC Medical Informatics and Decision Making 2024 24:328
    Content type: Research Published on:

  34. Deprivation of oxygen in an infant during and after birth leads to birth asphyxia, which is considered one of the leading causes of death in the neonatal period. Adequate resuscitation activities are performed...

    Authors: Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma and Kjersti Engan
    Citation: BMC Medical Informatics and Decision Making 2024 24:327
    Content type: Research Published on:

  35. Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low. A known problem is that they often require cl...

    Authors: Lamy Jean-Baptiste, Mouazer Abdelmalek, Léguillon Romain, Lelong Romain, Darmoni Stéfan, Sedki Karima, Dubois Sophie and Falcoff Hector
    Citation: BMC Medical Informatics and Decision Making 2024 24:326
    Content type: Research Published on:

  36. Cuproptosis, a recently identified type of programmed cell death triggered by copper, has mechanisms in Wilms tumor (WT) that are not yet fully understood. This research focuses on examining the link between W...

    Authors: Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen and Jiabo Chen
    Citation: BMC Medical Informatics and Decision Making 2024 24:325
    Content type: Research Published on:

  37. Total hip, knee and shoulder arthroplasties (THKSA) are increasing due to expanding demands in ageing population. Material surveillance is important to prevent severe complications involving implantable medica...

    Authors: Marie Ansoborlo, Christine Salpétrier, Louis-Romé Le Nail, Julien Herbet, Marc Cuggia, Philippe Rosset and Leslie Grammatico-Guillon
    Citation: BMC Medical Informatics and Decision Making 2024 24:324
    Content type: Research Published on:

  38. The primary aim of this scoping review was to synthesise key domains and sub-domains described in existing clinical decision support systems (CDSS) implementation frameworks into a novel taxonomy and demonstra...

    Authors: Jared M. Wohlgemut, Erhan Pisirir, Rebecca S. Stoner, Zane B. Perkins, William Marsh, Nigel R.M. Tai and Evangelia Kyrimi
    Citation: BMC Medical Informatics and Decision Making 2024 24:323
    Content type: Research Published on:

  39. Numerous medical resource demand models have been created as tools for governments or hospitals, aiming to predict the need for crucial resources like ventilators, hospital beds, personal protective equipment ...

    Authors: Kimberly Dautel, Ephraim Agyingi and Pras Pathmanathan
    Citation: BMC Medical Informatics and Decision Making 2024 24:322
    Content type: Research Published on:

  41. Femoral head collapse is a critical pathological change and is regarded as turning point in disease progression in osteonecrosis of the femoral head (ONFH). In this study, we aim to build an automatic femoral ...

    Authors: Shihua Gao, Haoran Zhu, Moshan Wen, Wei He, Yufeng Wu, Ziqi Li and Jiewei Peng
    Citation: BMC Medical Informatics and Decision Making 2024 24:320
    Content type: Research Published on:

  42. DNA microarrays provide informative data for transcriptional profiling and identifying gene expression signatures to help prevent progression of latent tuberculosis infection (LTBI) to active disease. However,...

    Authors: Somayeh Ayalvari, Marjan Kaedi and Mohammadreza Sehhati
    Citation: BMC Medical Informatics and Decision Making 2024 24:319
    Content type: Research Published on:

  43. Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that results in death within a short time span (3-5 years). One of the major challenges in treating ALS is its highly heterogeneou...

    Authors: Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chió, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti and Barbara Di Camillo
    Citation: BMC Medical Informatics and Decision Making 2024 24(Suppl 4):318
    Content type: Research Published on:

    This article is part of a Supplement: Volume 24 Supplement 4

  44. Ageing is one of the most important challenges in our society. Evaluating how one is ageing is important in many aspects, from giving personalized recommendations to providing insight for long-term care eligib...

    Authors: Katarina Gašperlin Stepančič, Ana Ramovš, Jože Ramovš and Andrej Košir
    Citation: BMC Medical Informatics and Decision Making 2024 24:317
    Content type: Research Published on:

  45. Clinical notes, biomarkers, and neuroimaging have proven valuable in dementia prediction models. Whether commonly available structured clinical data can predict dementia is an emerging area of research. We aim...

    Authors: Karen C. Schliep, Jeffrey Thornhill, JoAnn T. Tschanz, Julio C. Facelli, Truls Østbye, Michelle K. Sorweid, Ken R. Smith, Michael Varner, Richard D. Boyce, Christine J. Cliatt Brown, Huong Meeks and Samir Abdelrahman
    Citation: BMC Medical Informatics and Decision Making 2024 24:316
    Content type: Research Published on:

  46. Decision-making in trauma patients remains challenging and often results in deviation from guidelines. Machine-Learning (ML) enhanced decision-support could improve hemorrhage resuscitation.

    Authors: Tobias Gauss, Jean-Denis Moyer, Clelia Colas, Manuel Pichon, Nathalie Delhaye, Marie Werner, Veronique Ramonda, Theophile Sempe, Sofiane Medjkoune, Julie Josse, Arthur James and Anatole Harrois
    Citation: BMC Medical Informatics and Decision Making 2024 24:315
    Content type: Research Published on:

  47. Breast cancer is the most common cancer in women. Previous studies have investigated estimating and predicting the proportional hazard rates and survival in breast cancer. This study deals with predicting acce...

    Authors: Zahra Ramezani, Jamshid Yazdani Charati, Reza Alizadeh-Navaei and Mohammad Eslamijouybari
    Citation: BMC Medical Informatics and Decision Making 2024 24:314
    Content type: Research Published on:

  48. Decision-making and problem-solving processes are powerful activities occurring daily across all healthcare settings. Their empowering potential is seldom fully exploited, and they may even be perceived as dis...

    Authors: Emilie Haarslev Schröder Marqvorsen, Line Lund, Sigrid Normann Biener, Mette Due-Christensen, Gitte R. Husted, Rikke Jørgensen, Anne Sophie Mathiesen, Mette Linnet Olesen, Morten Aagaard Petersen, François Pouwer, Bodil Rasmussen, Mette Juel Rothmann, Thordis Thomsen, Kirsty Winkley and Vibeke Zoffmann
    Citation: BMC Medical Informatics and Decision Making 2024 24:313
    Content type: Research Published on:

  49. Massive transfusion of blood products poses challenges in determining the need for transfusion and the appropriate volume of blood products. This review explores the use of machine learning (ML) models to pred...

    Authors: Olivier Duranteau, Florian Blanchard, Benjamin Popoff, Faridi S. van Etten-Jamaludin, Turgay Tuna and Benedikt Preckel
    Citation: BMC Medical Informatics and Decision Making 2024 24:312
    Content type: Research Published on:
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BMC Medical Informatics and Decision Making

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